Manager, Enterprise Insights & Analytics

About the role

The Manager, Enterprise Insights & Analytics is responsible for strategy, governance, development, and delivery of enterprise reporting, analytics, data visualization, and business intelligence solutions. This role leads the Enterprise Reporting & Analytics Team and serves as a strategic partner to business and technology leaders, ensuring accurate, timely, and actionable insights that support operational excellence and data-driven decision making across the organization.

Responsibilities

• Own the enterprise business intelligence strategy, roadmap, standards, and governance.
• Lead and manage the Insights & Analytics Team, including analysts, developers, and reporting resources.
• Establish reporting and analytics best practices, standards, and development methodologies.
• Partner with business leaders to identify reporting, dashboard, KPI, and analytics requirements.
• Oversee the design, development, testing, deployment, and support of reporting and analytics solutions.
• Manage the organization's Power BI environment, including governance, security, workspace management, and deployment standards.
• Ensure the accuracy, reliability, and integrity of enterprise reporting and data visualization assets.
• Collaborate with Data Engineering, Enterprise Applications, PMO, Finance, HR, and Operational teams to enable reporting solutions.
• Define and manage enterprise KPI frameworks and performance measurement standards.
• Establish data definitions, reporting standards, and business glossary documentation.
• Drive self-service analytics adoption while maintaining appropriate governance controls.
• Monitor reporting performance, usage metrics, and user satisfaction.
• Manage prioritization of BI requests, enhancements, and projects.
• Provide leadership for data literacy and analytics training initiatives.
• Support strategic planning, forecasting, operational reporting, and executive dashboards.
• Evaluate emerging BI technologies and recommend improvements to the analytics ecosystem.
• Develop and maintain reporting documentation, operational procedures, and governance artifacts.
• Manage vendor relationships and third-party reporting tools as applicable.

Requirements

• Bachelor's Degree in Information Systems, Computer Science, Data Analytics, Business Administration, Statistics, Mathematics, or related field.
• 7+ years of experience in business intelligence, analytics, reporting, or data management.
• 3+ years of leadership experience managing BI, reporting, or analytics teams.
• Experience developing enterprise reporting solutions using Power BI or equivalent BI platforms.
• Experience with data warehousing, semantic modeling, self-service analytics, and enterprise dashboard delivery.
• Experience managing cross-functional projects and stakeholder relationships.

Qualifications

• Master's Degree in a related field.
• Microsoft Power BI Certification.
• Experience with Microsoft Fabric, Azure Data Services, or cloud analytics platforms.
• Experience with healthcare, staffing, workforce management, or enterprise operations reporting.
• Experience implementing BI governance frameworks.
• Experience leading enterprise reporting modernization initiatives.
• Knowledge of AI-enabled analytics and predictive reporting solutions.
• Business intelligence architecture and governance.
• Data modeling, dimensional modeling, and reporting methodologies.
• Data warehousing and analytics platforms.
• Power BI, Microsoft Fabric, and Microsoft data technologies.
• KPI development and performance management frameworks.
• Data governance, security, and compliance principles.
• Project and portfolio management concepts.
• Strategic planning and analytics leadership.
• Team leadership and employee development.
• Data visualization and dashboard design.
• Business requirements gathering and stakeholder management.
• Executive communication and presentation.
• Vendor management and relationship management.
• Project prioritization and resource planning.
• Problem solving and decision making.
• Ability to translate business objectives into reporting and analytics solutions.
• Ability to lead technical and business teams effectively.
• Ability to communicate complex data concepts to non-technical audiences.
• Ability to establish governance while supporting business agility.
• Ability to manage multiple priorities in a fast-paced environment.
• Ability to drive enterprise adoption of data-driven decision making.